Multiprocessing in Python is a way to run multiple processes simultaneously using multiple CPUs or cores. It allows for faster processing of data by dividing the task into smaller sub-tasks that can be executed in parallel. Python's multiprocessing module provides easy-to-use APIs for implementing multiprocessing in Python. Who said this?

Basic grammar of numpy

Npyscreen is a python widget library and application framework for programming terminal or console applications. It is built on top of ncurses, which is part of the standard library.

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Processing Your SNP file with Python:

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我居然用R语言来指导点样顺序和位置

R: Stylize the font in your Chart with library showtext

Latex grammar highlight Plugin for Atom

Some Online Tools

Calculating logistic function with R| logistic regression| 逻辑斯蒂曲线

Calculating regression function by R

Some machine learning codes for R

Stocking density refers to the number of fish that are stocked in a given area of water in aquaculture systems. It is an important consideration for fish farmers because overcrowding can lead to poor water quality, increased disease, and stunted growth. The optimal stocking density varies depending on the species of fish, water quality, and management practices. Experiments are conducted to determine the ideal stocking density for specific fish species and systems. Who said this?

Leaflet is an Js library which support the R API. You can draw high complicate and interoperable maps with it